Results 71 to 80 of about 5,107,449 (167)

Regression depth and support vector machine [PDF]

The regression depth method (RDM) proposed by Rousseeuw and Hubert [RH99] plays an important role in the area of robust regression for a continuous response variable.
Christmann, Andreas
core  

Vitamin D deficiency exacerbates phthalate exposure during pregnancy: data from National Health and Nutrition Examination Survey (NHANES) 2007–2018

Human Nutrition & Metabolism
This study aimed to investigate the potential association between vitamin D levels and phthalate (PAEs) metabolism in pregnant women. Data from 372 pregnant women, collected over six cycles (2007–2018) of the National Health and Nutrition Examination ...
Xiaoyue Zhang, Shouling Luo, Zhenzhen Liu, Jiangnan Pei, Haiyan Liu, Weirong Gu   +5 more
doaj   +1 more source

Statistical software for analyzing the health effects of multiple concurrent exposures via Bayesian kernel machine regression

, 2018
Background Estimating the health effects of multi-pollutant mixtures is of increasing interest in environmental epidemiology. Recently, a new approach for estimating the health effects of mixtures, Bayesian kernel machine regression (BKMR), has been ...
Jennifer F. Bobb, Linda Valeri, Birgit Claus Henn, Brent A. Coull   +3 more
core   +1 more source

Association of inflammation mediated blood heavy metals with plasma atherogenic index: NHANES analysis 2015–2020

Ecotoxicology and Environmental Safety
Metal pollutants are widespread in various environments, and numerous studies have indicated an association between metal exposure and the risk of atherosclerosis. However, the underlying mechanisms of this association remain unclear.
Xue Wang
doaj   +1 more source

Effects of long-term exposure to particle components on inpatient asthma hospitalizations among children and adults in the U.S. using Bayesian kernel machine regression (BKMR)

ISEE Conference Abstracts, 2022
Bryan N. Vu, Xinye Qiu, Joel Schwartz
openaire   +1 more source

Orthogonal-least-squares regression: A unified approach for data modelling

, 2008
A unified approach is proposed for data modelling that includes supervised regression and classification applications as well as unsupervised probability density function estimation. The orthogonal-least-squares regression based on the leave-one-out test
Harris, C. J., X. Hong, B.L. Luk, Chen, Sheng, C.J. Harris, Chen, S., Luk, Bing L., Hong, Xia, B. L. Luk, S. Chen, Luk, B. L., Hong, X., C. J. Harris, Harris, Chris   +13 more
core   +1 more source

Associations between mixed exposure to phthalates and latent tuberculosis infection among the general U.S. population from NHANES 2011–2012

Heliyon
Background: People are constantly exposed to phthalates, but few reliable studies have focused on the connection between phthalate exposure and latent tuberculosis infection (LTBI).
Bi Ran, Jiangyue Qin, Yanqiu Wu, Fuqiang Wen   +3 more
doaj   +1 more source

Effects of long-term exposure of particle components on inpatient stroke hospitalizations in U.S. adults ages 40 years and up using Bayesian kernel machine regression (BKMR)

ISEE Conference Abstracts, 2022
Bryan N. Vu, Xinye Qiu, Joel Schwartz
openaire   +1 more source

Independent and combined effects of volatile organic compounds on sarcopenia: Insights into environmental pollutants and muscle health

Ecotoxicology and Environmental Safety
This study investigates the associations between volatile organic compound (VOC) exposure and sarcopenia, focusing on independent and combined effects and exploring potential biological mechanisms.
Haobiao Liu, Zhuohang Chen, Rongqi Xiang, Yiting Liu   +3 more
doaj   +1 more source

Gaussian Processes and Fast Matrix-Vector Multiplies [PDF]

, 2009
Gaussian processes (GPs) provide a flexible framework for probabilistic regression. The necessary computations involve standard matrix operations.
Murray, Iain, Murray, Iain; id_orcid
core